Dataset Versions

v3

2023-11-29 10:02pm

Generated on Nov 30, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 93%
3042Images
Valid Set 5%
172Images
Test Set 2%
73Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 840x840

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -22° and +22°
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 8% of pixels
Bounding Box: Rotation: Between -35° and +35°
Bounding Box: Shear: ±18° Horizontal, ±17° Vertical

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